Robertson, S.E., M.E. Maron, and W.S. Cooper. The Unified Probabilistic Model for IR. 1982. Berlin: Springer-Verlag. Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
Document-Query Duality Meets Maximum Likelihood: The Answer is.. - Bodoff (2001) (Correct)
....approach. 2 Document Query Duality The document oriented probabilistic approach goes back to [2] while the document and query oriented approaches and a unified model were both presented in [3] Robertson has cogently framed the duality issue in the context of these probabilistic models [1, 4]. In [5] we review how this duality issue also pertains to other approaches to IR. In the context of the Vector Space Model (VSM) for example, the duality arises as two competing approaches to relevance feedback data query modification Q new = Q old D versus document modification D new = D ....
Robertson, S.E., M.E. Maron, and W.S. Cooper. The Unified Probabilistic Model for IR. 1982. Berlin: Springer-Verlag.
Learning in Information Retrieval: a Probabilistic Differential .. - Piwowarski (2000) (Correct)
....is to minimize the stress function. Hence, this model attempts to reach for each document an equilibrium between its initial representation and the representation of the queries for which it is relevant. The last model we will quote is the probabilistic model (called model 1) from Maron and Kuhns [18, 17, 19]. It is also the basis of our present work. The principle is to learn from feedback a relation between each possible query feature or term and a specific document. A document is therefore represented by a table which indicates for each term: the number of queries containing this term for which ....
ROBERTSON, S., MARON, M., AND COOPER, W. The unified probabilistic model for ir. In Salton and Schneider
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